Enterprise vitality evaluation method and device, electronic equipment and readable storage medium

Abstract

The invention provides an enterprise vitality evaluation method and device, electronic equipment and a readable storage medium, and belongs to the technical field of enterprise vitality evaluation.The method comprises the steps that an enterprise evaluation index database is constructed; based on each evaluation index in the enterprise evaluation index database, screening the historical data of the target enterprise to obtain a first enterprise vitality data set and a first evaluation index database corresponding to the first enterprise vitality data set; the target enterprise is a to-be-evaluated enterprise, and the first enterprise vitality data set comprises a plurality of data subsets related to the enterprise vitality of the target enterprise; analyzing the target enterprise based on the first evaluation index library to obtain an enterprise vitality index system; and calculating a vitality score of the target enterprise based on the enterprise vitality index system. According to the method, the data acquisition range can be expanded, and the enterprise vitality condition is comprehensively measured by increasing the data volume, so that the accuracy of enterprise vitality evaluation is improved.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of enterprise vitality evaluation, and more specifically, relates to an enterprise vitality evaluation method and device, electronic equipment, and a readable storage medium. Background Art

[0002] The evaluation of corporate vitality is a comprehensive consideration of a company's comprehensive strength and future development potential. As an important dimension for measuring corporate credit, an accurate and true assessment of corporate vitality is particularly important.

[0003] In the existing technology, corporate tax data is usually evaluated by using statistical methods based on some indicators. The data collection scope is limited, the amount of data is small, and it cannot fully measure the vitality of enterprises. Therefore, there is an urgent need for a method that can truly and accurately evaluate corporate vitality based on reliable and representative data. Summary of the invention

[0004] The purpose of the present disclosure is to provide a method and device for evaluating enterprise vitality, an electronic device, and a readable storage medium, which can expand the scope of data collection and comprehensively measure the vitality of enterprises by increasing the amount of data, so as to improve the accuracy of enterprise vitality evaluation.

[0005] A first aspect of the embodiments of the present disclosure provides a method for evaluating enterprise vitality, including: Construct enterprise evaluation index database; Based on each evaluation index in the enterprise evaluation index database, historical data of the target enterprise is screened to obtain a first enterprise vitality data set and a first evaluation index library corresponding to the first enterprise vitality data set; the target enterprise is an enterprise to be evaluated, and the first enterprise vitality data set includes multiple data subsets related to the enterprise vitality of the target enterprise; Analyze the target enterprise based on the first evaluation index library to obtain an enterprise vitality index system; A vitality score of the target enterprise is calculated based on the enterprise vitality index system.

[0006] A second aspect of the embodiments of the present disclosure provides an enterprise vitality evaluation device, including: Database construction module, used to build enterprise evaluation index database; A data screening module, configured to screen the historical data of a target enterprise based on each evaluation index in the enterprise evaluation index database to obtain a first enterprise vitality data set and a first evaluation index library corresponding to the first enterprise vitality data set; the target enterprise is an enterprise to be evaluated, and the first enterprise vitality data set includes a plurality of data subsets related to the enterprise vitality of the target enterprise; A target enterprise analysis module, used to analyze the target enterprise based on the first evaluation index library to obtain an enterprise vitality index system; The enterprise vitality evaluation module is used to calculate the vitality score of the target enterprise based on the enterprise vitality index system.

[0007] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned enterprise vitality evaluation method when executing the computer program.

[0008] In a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned enterprise vitality evaluation method are implemented.

[0009] The enterprise vitality evaluation method and device, electronic device, and readable storage medium provided by the embodiments of the present disclosure have the following beneficial effects: The present disclosure, by constructing an enterprise evaluation index database, can systematically integrate and manage various evaluation indicators related to enterprise vitality. It has many data types and a large amount of data, which is convenient for comprehensively measuring the vitality of enterprises. Secondly, the present disclosure, by screening the historical data of the target enterprise, obtains the first enterprise vitality data set and the first evaluation index library, which can accurately reflect the actual situation of the target enterprise and provide strong data support for subsequent enterprise vitality analysis. At the same time, the enterprise vitality index system constructed based on the first evaluation index library can comprehensively and objectively evaluate the vitality of the target enterprise, avoiding the one-sidedness of the evaluation of a single indicator. Finally, the present disclosure, by determining the vitality score of the target enterprise, can intuitively and accurately evaluate the vitality level of the enterprise. Therefore, the present disclosure can not only expand the scope of data collection, comprehensively measure the vitality of the enterprise by increasing the amount of data, but also improve the accuracy and objectivity of the enterprise vitality evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0011] Figure 1 A flowchart of a method for evaluating enterprise vitality provided by an embodiment of the present disclosure; Figure 2 A structural block diagram of an enterprise vitality evaluation device provided in an embodiment of the present disclosure; Figure 3A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0012] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0013] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0014] Please refer to Figure 1 , Figure 1 A flow chart of a method for evaluating enterprise vitality provided in one embodiment of the present disclosure, the method comprising: S101: Build an enterprise evaluation index database.

[0015] In this embodiment, the enterprise evaluation index is used to measure and evaluate the standards or scales of various aspects of the enterprise's performance, which can include multiple dimensions such as the enterprise's financial health, market competitiveness and innovation ability, and can reflect the level of the enterprise in the corresponding field through specific data or description. The database organizes, stores and manages data according to a certain data structure. In this embodiment, the database stores various enterprise evaluation indicators and related data in an orderly manner for subsequent rapid retrieval and analysis.

[0016] Specifically, the enterprise evaluation index database is constructed, including: Perform data cleaning and standardization on the acquired enterprise data to obtain standardized enterprise data; Standardized enterprise data is classified to obtain multiple enterprise evaluation indicators, and an enterprise evaluation indicator database is established based on the multiple enterprise evaluation indicators.

[0017] In this embodiment, the enterprise data comes from the financial industry's own collection and the credit system's shared data, which may include enterprise business registration information, judicial data, tax data, bidding data, water, electricity and gas data, and financial data, etc. Before building the enterprise evaluation index database, the enterprise data needs to be cleaned and standardized to ensure the accuracy of the data and the comparability of various data.

[0018] Data cleaning can handle missing values ​​and outliers to improve data quality and ensure the accuracy and reliability of subsequent analysis. Missing value processing is to fill in missing values ​​in data, such as financial data, market data, etc. The methods that can be used include K-Nearest Neighbors (KNN), mean / median filling or regression filling, etc.; outlier processing is to detect outliers in corporate data, such as extremely high or low values. The deletion method, correction method, tail shrinkage method, isolation forest algorithm or local outlier factor (LOF) algorithm can be used.

[0019] Standardization is to convert enterprise data according to certain standards so that data of different magnitudes and dimensions are comparable. Moreover, this embodiment can eliminate the differences in numerical values ​​and units of enterprise data through standardization. The standardization method can use Z-score standardization algorithm or Min-Max algorithm to standardize enterprise data of different dimensions.

[0020] Standardized enterprise data is data that has been cleaned and standardized, with improved data quality and unified standards. Enterprise evaluation indicators are used to measure and evaluate specific parameters of enterprise performance in various aspects. These indicators can reflect the status of enterprises in the fields of operation, finance, market, innovation, etc., and are the basic elements for building an enterprise evaluation indicator database. The enterprise evaluation indicator database is a database that stores, manages and organizes enterprise evaluation indicator-related data according to certain rules, which facilitates the query, screening and analysis of enterprise data and provides data support for enterprise vitality evaluation.

[0021] For example, the data are classified according to the enterprise characteristics reflected by the standardized enterprise data. For example, the data such as assets, liabilities, and profits of the enterprise are classified into financial evaluation indicators; the data such as market share and customer satisfaction are classified into market competitiveness evaluation indicators; and the data such as R&D investment and number of patents are classified into innovation capability evaluation indicators.

[0022] The data of the same category are sorted and refined to form specific evaluation indicators. For example, in the evaluation data of enterprise innovation capability, by calculating the ratio of R&D investment amount to the total revenue of the enterprise, the R&D investment ratio, an indicator for evaluating the innovation capability of the enterprise, is obtained to evaluate the intensity and sustainability of the enterprise's R&D investment.

[0023] Design a suitable database table structure based on the classification and characteristics of enterprise evaluation indicators. For example, create a financial indicator table with fields such as "year", "net profit margin", "asset-liability ratio", etc.; create a market indicator table with fields such as "quarter", "market share", "customer satisfaction", etc. At the same time, determine the relationship between tables, such as associating different tables through the "enterprise ID" and "time" fields.

[0024] The enterprise evaluation index data obtained after cleaning, standardization and classification shall be stored in the corresponding database according to the designed database structure. Database management tools (such as MySQL Workbench) or programming languages ​​(such as Python's pandas library combined with SQL statements) can be used to insert the data into the database table to build an enterprise evaluation index database.

[0025] Among them, the enterprise evaluation index database may include indicators such as basic enterprise information, financial health, business scale and activity, innovation capability, market performance and competitiveness, organizational management capability, compliance and stability, and social responsibility.

[0026] S102: Based on each evaluation indicator in the enterprise evaluation indicator database, the historical data of the target enterprise is screened to obtain a first enterprise vitality data set and a first evaluation indicator library corresponding to the first enterprise vitality data set; the target enterprise is the enterprise to be evaluated, and the first enterprise vitality data set includes multiple data subsets related to the enterprise vitality of the target enterprise.

[0027] In this embodiment, the target enterprise is an enterprise that needs to be evaluated for enterprise vitality. In the process of evaluating the enterprise, all operations such as data screening and analysis are carried out around the enterprise.

[0028] The first enterprise vitality data set is a data set closely related to the vitality of the target enterprise, which is selected from the historical data of the target enterprise based on the relevant evaluation indicators in the enterprise evaluation indicator database. It consists of multiple data subsets that can reflect different aspects of enterprise vitality. The data subsets are part of the first enterprise vitality data set, and each subset focuses on a certain aspect of enterprise vitality. For example, some data subsets specifically contain the enterprise's innovation results data, while others focus on the enterprise's market expansion data, etc.

[0029] The first evaluation index library corresponds to the first enterprise vitality data set, which is a collection of evaluation indexes selected from the enterprise evaluation index database and used to generate the first enterprise vitality data set, and clarifies the specific index standards based on which data are selected from the historical data of the target enterprise.

[0030] S103: Analyze the target enterprise based on the first evaluation index library to obtain an enterprise vitality index system.

[0031] In this embodiment, the relationship between each indicator in the first evaluation indicator library and the actual operation status of the target enterprise is considered, and by performing qualitative and quantitative analysis on the target enterprise, the comprehensiveness and accuracy of the subsequent enterprise vitality evaluation results can be ensured.

[0032] Specifically, the enterprise vitality index system includes the vitality level of the target enterprise and the target evaluation index; Based on the first evaluation index library, the target enterprises are analyzed to obtain the enterprise vitality index system, including: Based on the first evaluation index library, a qualitative analysis is performed on the target enterprise to determine the vitality level of the target enterprise; based on the first evaluation index library, a quantitative analysis is performed on the target enterprise to obtain the target evaluation index; The vitality level and target evaluation index of the target enterprise are used as the enterprise vitality index system.

[0033] In this embodiment, the enterprise vitality index system is a set that comprehensively and systematically measures the vitality status of the target enterprise, and is composed of the vitality level of the target enterprise and the target evaluation index. The vitality level is a qualitative classification of the vitality level of the target enterprise, and the enterprise vitality level can be summarized by a concise level description, such as "high vitality", "medium vitality" and "low vitality". In addition, the division of enterprise vitality levels can be set based on actual needs. For example, if ten levels are required to represent the enterprise vitality level, then the vitality level corresponds to ten levels. The above division helps to intuitively understand the approximate position of enterprise vitality in the whole, and facilitates quick judgment of the enterprise vitality status.

[0034] Exemplarily, this embodiment can use the expert scoring method to conduct a qualitative analysis of the target enterprise to determine the vitality level of the target enterprise. By inviting senior experts in the industry, business management consultants and other professionals, based on their rich experience and deep understanding of the industry, a comprehensive evaluation is made on the performance of the target enterprise in various aspects involved in the first evaluation index library. For example, experts will consider factors that are difficult to directly quantify but have an important impact on the vitality of the enterprise, such as the market reputation, industry influence, and forward-looking nature of strategic planning of the enterprise. Through the above qualitative analysis, the vitality level of the target enterprise is finally determined.

[0035] In order to more accurately evaluate the vitality of the target enterprise, the target enterprise is quantitatively analyzed to obtain the target evaluation index. Specifically, the target evaluation index is a specific index selected from the first evaluation index library based on the actual situation of the target enterprise and obtained through quantitative analysis. The above indicators accurately reflect the performance of enterprise vitality in various dimensions through quantitative data, such as the net profit margin in financial indicators and the production efficiency value in operating indicators. At the same time, the selection of target evaluation indicators and the application of modeling methods can consider the specific conditions of the industry characteristics, environment, culture, development stage, scale, geographical location, etc. of the target enterprise, and select highly relevant indicators as characteristic indicators to construct an enterprise vitality index system.

[0036] Finally, the vitality level obtained through qualitative analysis is combined with the target evaluation indicators obtained through quantitative analysis. The vitality level provides an overall qualitative description of the vitality of the enterprise, allowing users to quickly make a preliminary judgment on the vitality of the enterprise; the target evaluation indicators use precise data to elaborate on the vitality of the enterprise from various dimensions. For example, when the vitality level is "high vitality", combined with specific target evaluation indicators, such as a net profit margin of 20% and a production efficiency increase of 15% over last year, together they constitute a complete enterprise vitality indicator system, which comprehensively and accurately presents the vitality of the target enterprise.

[0037] S104: Calculate the vitality score of the target enterprise based on the enterprise vitality index system.

[0038] In this embodiment, the vitality score is to quantify and synthesize the target evaluation indicators in the enterprise vitality index system through some calculations to obtain a value that can intuitively and accurately reflect the vitality level of the target enterprise.

[0039] The enterprise vitality index system includes target evaluation indicators. By quantifying the target evaluation indicators, multiple index values ​​are obtained, and then the corresponding weights are determined based on the degree of influence or importance of different target evaluation indicators on enterprise vitality. Finally, this embodiment combines each evaluation indicator and index value through the weighted summation method to obtain a value that comprehensively reflects the vitality of the enterprise, that is, the vitality score. This embodiment comprehensively considers the importance and actual performance of each indicator, and can more comprehensively reflect the level of enterprise vitality.

[0040] From the above, it can be concluded that the present disclosure, by constructing an enterprise evaluation index database, can systematically integrate and manage various evaluation indicators related to enterprise vitality. The data types are many and the data volume is large, which is convenient for comprehensively measuring the vitality of enterprises. Secondly, the present disclosure obtains the first enterprise vitality data set and the first evaluation index library by screening the historical data of the target enterprise, which can accurately reflect the actual situation of the target enterprise and provide strong data support for the subsequent enterprise vitality analysis. At the same time, the enterprise vitality index system constructed based on the first evaluation index library can comprehensively and objectively evaluate the vitality of the target enterprise, avoiding the one-sidedness of the single indicator evaluation. Finally, the present disclosure can intuitively and accurately evaluate the vitality level of the enterprise by determining the vitality score of the target enterprise. Therefore, the present disclosure can not only expand the scope of data collection, comprehensively measure the vitality of the enterprise by increasing the amount of data, but also improve the accuracy and objectivity of the enterprise vitality evaluation.

[0041] In one embodiment of the present disclosure, a qualitative analysis is performed on the target enterprise based on the first evaluation index library to determine the vitality level of the target enterprise, including: Selecting a first indicator from a first evaluation indicator library based on a first condition, wherein the first condition is that the importance between the indicator in the first evaluation indicator library and the target enterprise is greater than or equal to a first importance threshold; The first indicator is classified based on the clustering algorithm to determine the vitality level of the target enterprise.

[0042] In this embodiment, the first indicator is a key indicator selected from the first indicator library, and the importance of the target enterprise reaches or exceeds the first important threshold. The indicator plays an important role in judging the vitality level of the target enterprise. The first important threshold is a pre-set measurement standard, which can be set based on experience and is used to define the importance of the indicator to the target enterprise. The first evaluation indicator library includes multiple indicators.

[0043] In this embodiment, the importance of each indicator and the target enterprise is calculated by the first formula, and the calculation formula of the first formula is: , ; in, For the The weight corresponding to each indicator is For the The relevance score of each indicator to the target enterprise. For the The importance of each indicator to the target enterprise.

[0044] The above The relevance score of each indicator to the target enterprise can be obtained through expert scoring.

[0045] When the importance between a certain indicator and the target enterprise is greater than or equal to the first importance threshold, the indicator is determined as the first indicator.

[0046] The first indicator is classified based on the clustering algorithm to determine the vitality level of the target enterprise, including: Determine first data of the target enterprise corresponding to the first indicator; the first data includes a plurality of first data points; Determine the initial cluster centers and the number of the initial cluster centers. The number of the initial cluster centers can be determined according to the number of categories of the vitality level of the target enterprise; Determine the distance between each first data point and each initial cluster center based on a first distance formula; Assigning each first data point to a corresponding initial clustering center based on the distance between each first data point and each initial clustering center to obtain a plurality of clusters; Based on each cluster, the initial cluster center is updated to obtain a target cluster center, and multiple target clusters are obtained; in response to the difference between the target cluster center and the previous cluster center being less than a first threshold, the updating is stopped; The vitality level of the target enterprise is determined based on multiple target clusters.

[0047] Assume that the first indicator is , The first data point is , , No. The initial cluster centers are ; The calculation formula of the first distance formula is:

[0048] in, For the The first weight of the first indicator, For the The correlation coefficient of the first indicator is used to measure the The correlation between the first indicator and the overall assessment of enterprise vitality is in the range of [0, 1]. The closer to 1, the stronger the correlation. The correlation coefficient can be calculated by the Pearson correlation coefficient.

[0049] In the enterprise vitality assessment, different indicators have different impacts on the final vitality level, and the weights are used to determine the impact of different indicators on the final vitality level. , can strengthen the role of important indicators in distance calculation, making the clustering results more consistent with actual business logic. Even if some indicators have higher weights, if they are not strongly correlated with the overall assessment of enterprise vitality, over-reliance on these indicators may lead to clustering bias. Introducing the correlation coefficient , the distance calculation can be modified to make the distance measurement more focused on the indicator dimensions that are closely related to the vitality of the enterprise.

[0050] It can be concluded from the above that this embodiment effectively avoids the interference of redundant information and improves the pertinence and accuracy of analysis by accurately screening indicators whose importance to the target enterprise is greater than or equal to the first important threshold. At the same time, the clustering algorithm is used to scientifically classify the first indicator, which can deeply explore the internal connection between the indicators and provide strong support for determining the vitality level of the target enterprise.

[0051] In one embodiment of the present disclosure, a target enterprise is quantitatively analyzed based on a first evaluation index library to obtain a target evaluation index, including: Selecting a second indicator from the first evaluation indicator library based on a second condition, where the second condition is that the correlation between the indicator in the first evaluation indicator library and the target enterprise is greater than or equal to a first correlation threshold; The second indicator is analyzed based on the target analysis algorithm to obtain a target evaluation indicator, which includes multiple evaluation indicators.

[0052] In this embodiment, the second indicator is an indicator selected from the first evaluation indicator library and has a high degree of relevance to the target enterprise, that is, its relevance is greater than or equal to a preset first relevance threshold. The above indicators can more effectively reflect the characteristics of the target enterprise and are the focus of in-depth quantitative analysis. The relevance can be calculated by the Pearson correlation coefficient.

[0053] The first correlation threshold is a pre-set standard value, which serves as the boundary for judging the correlation between the indicator and the target enterprise. Only indicators whose correlation reaches or exceeds the threshold will be selected as the second indicator, so as to screen out indicators with significant correlation to the target enterprise and reduce the complexity of subsequent analysis.

[0054] The target analysis algorithm can be a principal component analysis algorithm. The principal component analysis algorithm is a statistical method of dimensionality reduction, which converts multiple related variables into a few unrelated comprehensive variables (i.e., principal components) through linear transformation. These principal components can retain as much information as possible from the original variables while reducing the dimension of the data, which is convenient for subsequent analysis and processing. In the evaluation of enterprise vitality, it can be used to extract key information from many secondary indicators to obtain target evaluation indicators. In addition, the target analysis algorithm can also be an algorithm such as random forest.

[0055] Specifically, for each indicator in the first evaluation indicator library, a suitable method (such as Pearson correlation coefficient, Spearman correlation coefficient, etc.) is used to calculate its correlation with the key business indicators or overall vitality performance of the target enterprise. The calculated correlation value of each indicator is compared with the first correlation threshold. If the correlation of an indicator is greater than or equal to the first correlation threshold, it is selected as the second indicator.

[0056] Specifically, the step of analyzing the second indicator based on the principal component analysis algorithm to obtain the target evaluation indicator includes: First, the covariance matrix is ​​calculated for the enterprise data of the second indicator. The covariance matrix is ​​used to measure the covariance relationship between various data and reflect the linear correlation between data.

[0057] Second, solve the eigenvalues ​​and eigenvectors of the covariance matrix. The eigenvalue reflects the variance of the corresponding principal component. The larger the variance, the more information the principal component contains. The eigenvector determines the direction of the principal component.

[0058] Third, according to the size of the eigenvalues, the principal components are selected according to the requirements of the cumulative contribution rate. The first few principal components whose cumulative contribution rate reaches a certain proportion (such as 80% to 90%) can be selected.

[0059] Fourth, the selected principal components are used as target evaluation indicators.

[0060] It can be concluded from the above that this embodiment ensures the pertinence and applicability of the analysis results by screening indicators whose correlation with the target enterprise is greater than or equal to the first correlation threshold. At the same time, the target analysis algorithm is used to conduct an in-depth analysis of the second indicator, effectively extract key information, form a target evaluation indicator system containing multiple evaluation indicators, and improve the efficiency and accuracy of the analysis.

[0061] In one embodiment of the present disclosure, each evaluation indicator corresponds to an importance value; Calculate the vitality score of the target enterprise based on the enterprise vitality index system, including: Determine the index value of the target enterprise based on the target evaluation index, and generate an enterprise attribute vector based on the index value of the target enterprise; Determine the weight of each evaluation indicator based on the importance value; The enterprise attribute vector and weight are weighted to obtain the vitality score of the target enterprise.

[0062] In this embodiment, the target enterprise's index value is the specific data performance of the target enterprise on each evaluation index. The index values ​​of the target enterprise on multiple evaluation indicators are arranged in a certain order to form a vector, which can comprehensively reflect the characteristics of the target enterprise on each evaluation dimension and is the basic data structure for subsequent calculation of vitality score.

[0063] The importance value is used to measure the impact of each evaluation indicator on the vitality of the target enterprise, reflecting the relative importance of the indicator in the entire enterprise vitality evaluation system. The higher the importance value, the greater the impact of the indicator on the vitality of the enterprise. The importance value can be calculated using the random forest algorithm.

[0064] This embodiment obtains a comprehensive value by weighted calculation of each indicator value in the enterprise attribute vector according to its corresponding weight, which is used to intuitively represent the vitality level of the target enterprise. The higher the value, the stronger the vitality of the enterprise.

[0065] The weight of each evaluation index can be calculated based on the second formula, which is:

[0066] in, is the weight of each evaluation indicator, is the total number of target evaluation indicators, , For the The importance value of the evaluation index is is the correlation matrix, Indicates The evaluation indicators and The correlation degree of the evaluation indicators is , , is the dynamic adjustment coefficient, , used to reflect the The change in the importance of an indicator at time t relative to its initial state. is an index variable for summation, It takes values ​​from 1 to h, traverses all evaluation indicators, and is used to calculate the sum of the importance values ​​of all indicators after the correlation degree and dynamic adjustment coefficient are adjusted, so as to normalize the numerator and obtain the first The weight of the evaluation index at time t , is the dynamic adjustment coefficient, , used to reflect the The change in the importance of an indicator at time t relative to the initial state, For the The importance value of the evaluation index is Indicates The evaluation indicators and The correlation degree of the evaluation indicators is .

[0067] The correlation matrix A can be determined through expert evaluation combined with historical data correlation analysis. Dynamic adjustment coefficient It can be determined based on factors such as corporate strategy adjustments and industry cycle changes.

[0068] Alternatively, the weight of each evaluation indicator can also be determined by the entropy weight method.

[0069] It can be concluded from the above that this embodiment can more comprehensively reflect the real situation of the enterprise by constructing the enterprise attribute vector and combining the weight of each evaluation index. In addition, this embodiment uses the above data for weighted calculation, and the vitality score obtained is not only objective and accurate, but also can provide strong guidance for enterprise development and help enterprises to clarify their own advantages and shortcomings.

[0070] In one embodiment of the present disclosure, the enterprise vitality evaluation method further includes: If the vitality score of the target enterprise is greater than or equal to the first scoring threshold, the vitality index of the target enterprise is the first level; If the vitality score of the target enterprise is less than the first scoring threshold and greater than or equal to the second scoring threshold, the vitality index of the target enterprise is the second level; If the target enterprise's vitality score is less than the second scoring threshold, the target enterprise's vitality index is the third level; Among them, the first level of vitality is greater than the second level of vitality, and the second level of vitality is greater than the third level of vitality.

[0071] In this embodiment, the first scoring threshold and the second scoring threshold are both preset scoring limits. The vitality index is a level identification determined by comparing the vitality score of the target enterprise with the set threshold, and is divided into the first level, the second level and the third level.

[0072] The first level represents the target enterprise with a high level of vitality. In this evaluation system, the vitality of enterprises in this level is higher than that of the other two levels. The second level represents the target enterprise with a medium level of vitality, which is between the first and third levels. The third level represents the target enterprise with a relatively low level of vitality. In this evaluation system, the vitality of enterprises in this level is lower than that of the first two levels.

[0073] Specifically, first, this embodiment preliminarily screens the target enterprise's vitality by comparing it with the first scoring threshold. If the vitality score reaches or exceeds the first scoring threshold, it means that the enterprise has reached a high level in terms of comprehensive performance of various evaluation indicators, so its vitality index is determined as the first level, representing high vitality.

[0074] If the vitality score does not reach the first scoring threshold, it means that the enterprise vitality has not yet reached a high vitality level, and then it is further compared with the second scoring threshold. If the vitality score is at or above the second scoring threshold, it means that the enterprise vitality is in the medium range, so its vitality index is determined to be the second level. When the vitality score is less than the second scoring threshold, it means that the comprehensive performance of the enterprise in various evaluation indicators is relatively poor and the vitality level is low, so its vitality index is determined to be the third level.

[0075] It can be concluded from the above that this embodiment divides enterprise vitality into three levels by setting a clear scoring threshold, which is convenient for intuitive understanding and comparison of the vitality status of different enterprises. At the same time, this embodiment can motivate enterprises to continuously improve their vitality and competitiveness by evaluating the enterprise vitality level, thereby promoting the healthy development of the entire industry.

[0076] Corresponding to the enterprise vitality evaluation method in the above embodiment, Figure 2 This is a structural block diagram of an enterprise vitality evaluation device provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 2 The enterprise vitality evaluation device 20 includes: a database construction module 21, a data screening module 22, a target enterprise analysis module 23 and an enterprise vitality evaluation module 24.

[0077] Among them, the database construction module 21 is used to construct an enterprise evaluation index database; A data screening module 22 is used to screen the historical data of the target enterprise based on each evaluation index in the enterprise evaluation index database to obtain a first enterprise vitality data set and a first evaluation index library corresponding to the first enterprise vitality data set; the target enterprise is the enterprise to be evaluated, and the first enterprise vitality data set includes multiple data subsets related to the enterprise vitality of the target enterprise; The target enterprise analysis module 23 is used to analyze the target enterprise based on the first evaluation index library to obtain an enterprise vitality index system; The enterprise vitality evaluation module 24 is used to calculate the vitality score of the target enterprise based on the enterprise vitality index system.

[0078] In one embodiment of the present disclosure, the database construction module 21 is specifically used to perform data cleaning and standardization processing on the acquired enterprise data to obtain standardized enterprise data; Standardized enterprise data is classified to obtain multiple enterprise evaluation indicators, and an enterprise evaluation indicator database is established based on the multiple enterprise evaluation indicators.

[0079] In one embodiment of the present disclosure, the enterprise vitality index system includes a target enterprise's vitality level and a target evaluation index; The target enterprise analysis module 23 is specifically used to perform a qualitative analysis on the target enterprise based on the first evaluation index library to determine the vitality level of the target enterprise; perform a quantitative analysis on the target enterprise based on the first evaluation index library to obtain a target evaluation index; The vitality level and target evaluation index of the target enterprise are used as the enterprise vitality index system.

[0080] In one embodiment of the present disclosure, the target enterprise analysis module 23 is further configured to select a first indicator from a first evaluation indicator library based on a first condition, wherein the first condition is that the importance between the indicator in the first evaluation indicator library and the target enterprise is greater than or equal to a first importance threshold; The first indicator is classified based on the clustering algorithm to determine the vitality level of the target enterprise.

[0081] In one embodiment of the present disclosure, the target enterprise analysis module 23 is further configured to select a second indicator from the first evaluation indicator library based on a second condition, wherein the second condition is that the correlation between the indicator in the first evaluation indicator library and the target enterprise is greater than or equal to a first correlation threshold; The second indicator is analyzed based on the target analysis algorithm to obtain a target evaluation indicator, which includes multiple evaluation indicators.

[0082] In one embodiment of the present disclosure, each evaluation indicator corresponds to an importance value; The enterprise vitality evaluation module 24 is specifically used to determine the index value of the target enterprise based on the target evaluation index, and generate the enterprise attribute vector based on the index value of the target enterprise; Determine the weight of each evaluation indicator based on the importance value; The enterprise attribute vector and weight are weighted to obtain the vitality score of the target enterprise.

[0083] In one embodiment of the present disclosure, the enterprise vitality evaluation device 20 further includes: a vitality index evaluation module, which is used to, if the vitality score of the target enterprise is greater than or equal to the first score threshold, the vitality index of the target enterprise is at the first level; If the vitality score of the target enterprise is less than the first scoring threshold and greater than or equal to the second scoring threshold, the vitality index of the target enterprise is the second level; If the target enterprise's vitality score is less than the second scoring threshold, the target enterprise's vitality index is the third level; Among them, the first level of vitality is greater than the second level of vitality, and the second level of vitality is greater than the third level of vitality.

[0084] See also Figure 3 , Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 3The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of each module / unit in the above-mentioned device embodiments, such as Figure 2 The functions of modules 21 to 24 are shown.

[0085] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0086] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

[0087] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0088] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of the enterprise vitality evaluation method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0089] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0090] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0091] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0092] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0093] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0094] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0095] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0096] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A method for evaluating enterprise vitality, characterized in that: include: Construct enterprise evaluation index database; Based on each evaluation index in the enterprise evaluation index database, historical data of the target enterprise is screened to obtain a first enterprise vitality data set and a first evaluation index library corresponding to the first enterprise vitality data set; the target enterprise is an enterprise to be evaluated, and the first enterprise vitality data set includes multiple data subsets related to the enterprise vitality of the target enterprise; Analyze the target enterprise based on the first evaluation index library to obtain an enterprise vitality index system; A vitality score of the target enterprise is calculated based on the enterprise vitality index system.

2. The enterprise vitality evaluation method according to claim 1, characterized in that: The said constructing of the enterprise evaluation index database comprises: Perform data cleaning and standardization on the acquired enterprise data to obtain standardized enterprise data; The standardized enterprise data is classified to obtain a plurality of enterprise evaluation indicators, and the enterprise evaluation indicator database is established based on the plurality of enterprise evaluation indicators.

3. The enterprise vitality evaluation method according to claim 1, characterized in that: The enterprise vitality index system includes the vitality level and target evaluation index of the target enterprise; The target enterprise is analyzed based on the first evaluation index library to obtain an enterprise vitality index system, including: Performing a qualitative analysis on the target enterprise based on the first evaluation index library to determine the vitality level of the target enterprise; performing a quantitative analysis on the target enterprise based on the first evaluation index library to obtain a target evaluation index; The vitality level of the target enterprise and the target evaluation index are used as an enterprise vitality index system.

4. The enterprise vitality evaluation method according to claim 3, characterized in that: The qualitative analysis of the target enterprise based on the first evaluation index library to determine the vitality level of the target enterprise includes: Selecting a first indicator from the first evaluation indicator library based on a first condition, wherein the first condition is that the importance between the indicator in the first evaluation indicator library and the target enterprise is greater than or equal to a first importance threshold; The first indicator is classified based on a clustering algorithm to determine the vitality level of the target enterprise.

5. The enterprise vitality evaluation method according to claim 3, characterized in that: The step of performing a quantitative analysis on the target enterprise based on the first evaluation index library to obtain a target evaluation index includes: Selecting a second indicator from the first evaluation indicator library based on a second condition, wherein the second condition is that the correlation between the indicator in the first evaluation indicator library and the target enterprise is greater than or equal to a first correlation threshold; The second indicator is analyzed based on a target analysis algorithm to obtain the target evaluation indicator, which includes multiple evaluation indicators.

6. The enterprise vitality evaluation method according to claim 5, characterized in that: Each evaluation indicator corresponds to an importance value; The calculating the vitality score of the target enterprise based on the enterprise vitality index system includes: Determining an index value of the target enterprise based on the target evaluation index, and generating an enterprise attribute vector based on the index value of the target enterprise; Determining the weight of each evaluation indicator based on the importance value; The enterprise attribute vector and the weight are weightedly calculated to obtain the vitality score of the target enterprise.

7. The enterprise vitality evaluation method according to claim 1, characterized in that: Also includes: If the vitality score of the target enterprise is greater than or equal to the first scoring threshold, the vitality index of the target enterprise is the first level; If the vitality score of the target enterprise is less than the first scoring threshold and greater than or equal to the second scoring threshold, the vitality index of the target enterprise is the second level; If the vitality score of the target enterprise is less than the second scoring threshold, the vitality index of the target enterprise is the third level; The first level of vitality is greater than the second level of vitality, and the second level of vitality is greater than the third level of vitality.

8. An enterprise vitality evaluation device, characterized in that: include: Database construction module, used to build enterprise evaluation index database; A data screening module, configured to screen the historical data of a target enterprise based on each evaluation index in the enterprise evaluation index database to obtain a first enterprise vitality data set and a first evaluation index library corresponding to the first enterprise vitality data set; the target enterprise is an enterprise to be evaluated, and the first enterprise vitality data set includes a plurality of data subsets related to the enterprise vitality of the target enterprise; A target enterprise analysis module, used to analyze the target enterprise based on the first evaluation index library to obtain an enterprise vitality index system; The enterprise vitality evaluation module is used to calculate the vitality score of the target enterprise based on the enterprise vitality index system.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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